sd-webui-controlnet VS seait

Compare sd-webui-controlnet vs seait and see what are their differences.

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sd-webui-controlnet seait
247 14
15,859 678
- -
9.7 6.9
6 days ago 8 months ago
Python Python
GNU General Public License v3.0 only -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

sd-webui-controlnet

Posts with mentions or reviews of sd-webui-controlnet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.

seait

Posts with mentions or reviews of seait. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-31.

What are some alternatives?

When comparing sd-webui-controlnet and seait you can also consider the following projects:

ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models

openpose-editor - Openpose Editor for AUTOMATIC1111's stable-diffusion-webui

stable-diffusion-webui-directml - Stable Diffusion web UI

T2I-Adapter - T2I-Adapter

stable-diffusion-webui-ux - Stable Diffusion web UI UX

ControlNet - Let us control diffusion models!

stable-diffusion-webui-model-toolkit - A Multipurpose toolkit for managing, editing and creating models.

stable-diffusion-webui-colab - stable diffusion webui colab

canvas-zoom - zoom and pan functionality

stable-diffusion-webui - Stable Diffusion web UI

SimSwap - An arbitrary face-swapping framework on images and videos with one single trained model!